Last updated on 2025-10-21 11:53:26 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.3.3 | 7.63 | 74.23 | 81.86 | NOTE | |
r-devel-linux-x86_64-debian-gcc | 0.3.3 | 5.34 | 57.83 | 63.17 | NOTE | |
r-devel-linux-x86_64-fedora-clang | 0.3.3 | 123.68 | NOTE | |||
r-devel-linux-x86_64-fedora-gcc | 0.3.3 | 14.00 | 114.89 | 128.89 | NOTE | |
r-devel-windows-x86_64 | 0.3.3 | 8.00 | 162.00 | 170.00 | NOTE | |
r-patched-linux-x86_64 | 0.3.3 | 6.64 | 70.65 | 77.29 | NOTE | |
r-release-linux-x86_64 | 0.3.3 | 7.05 | 70.77 | 77.82 | NOTE | |
r-release-macos-arm64 | 0.3.3 | 67.00 | NOTE | |||
r-release-macos-x86_64 | 0.3.3 | 7.00 | 85.00 | 92.00 | NOTE | |
r-release-windows-x86_64 | 0.3.3 | 8.00 | 128.00 | 136.00 | NOTE | |
r-oldrel-macos-arm64 | 0.3.3 | 42.00 | NOTE | |||
r-oldrel-macos-x86_64 | 0.3.3 | 65.00 | NOTE | |||
r-oldrel-windows-x86_64 | 0.3.3 | 11.00 | 125.00 | 136.00 | NOTE |
Version: 0.3.3
Check: Rd files
Result: NOTE
checkRd: (-1) h2o4gpu.gradient_boosting_classifier.Rd:62: Lost braces; missing escapes or markup?
62 | \item{tree_method}{The tree construction algorithm used in XGBoost Distributed and external memory version only support approximate algorithm. Choices: {‘auto’, ‘exact’, ‘approx’, ‘hist’, ‘gpu_exact’, ‘gpu_hist’} ‘auto’: Use heuristic to choose faster one. - For small to medium dataset, exact greedy will be used. - For very large-dataset, approximate algorithm will be chosen. - Because old behavior is always use exact greedy in single machine, - user will get a message when approximate algorithm is chosen to notify this choice. ‘exact’: Exact greedy algorithm. ‘approx’: Approximate greedy algorithm using sketching and histogram. ‘hist’: Fast histogram optimized approximate greedy algorithm. It uses some performance improvements such as bins caching. ‘gpu_exact’: GPU implementation of exact algorithm. ‘gpu_hist’: GPU implementation of hist algorithm.}
| ^
checkRd: (-1) h2o4gpu.gradient_boosting_regressor.Rd:64: Lost braces; missing escapes or markup?
64 | \item{tree_method}{The tree construction algorithm used in XGBoost Distributed and external memory version only support approximate algorithm. Choices: {‘auto’, ‘exact’, ‘approx’, ‘hist’, ‘gpu_exact’, ‘gpu_hist’} ‘auto’: Use heuristic to choose faster one. - For small to medium dataset, exact greedy will be used. - For very large-dataset, approximate algorithm will be chosen. - Because old behavior is always use exact greedy in single machine, - user will get a message when approximate algorithm is chosen to notify this choice. ‘exact’: Exact greedy algorithm. ‘approx’: Approximate greedy algorithm using sketching and histogram. ‘hist’: Fast histogram optimized approximate greedy algorithm. It uses some performance improvements such as bins caching. ‘gpu_exact’: GPU implementation of exact algorithm. ‘gpu_hist’: GPU implementation of hist algorithm.}
| ^
checkRd: (-1) h2o4gpu.random_forest_classifier.Rd:58: Lost braces; missing escapes or markup?
58 | \item{tree_method}{The tree construction algorithm used in XGBoost Distributed and external memory version only support approximate algorithm. Choices: {‘auto’, ‘exact’, ‘approx’, ‘hist’, ‘gpu_exact’, ‘gpu_hist’} ‘auto’: Use heuristic to choose faster one. - For small to medium dataset, exact greedy will be used. - For very large-dataset, approximate algorithm will be chosen. - Because old behavior is always use exact greedy in single machine, - user will get a message when approximate algorithm is chosen to notify this choice. ‘exact’: Exact greedy algorithm. ‘approx’: Approximate greedy algorithm using sketching and histogram. ‘hist’: Fast histogram optimized approximate greedy algorithm. It uses some performance improvements such as bins caching. ‘gpu_exact’: GPU implementation of exact algorithm. ‘gpu_hist’: GPU implementation of hist algorithm.}
| ^
checkRd: (-1) h2o4gpu.random_forest_regressor.Rd:56: Lost braces; missing escapes or markup?
56 | \item{tree_method}{The tree construction algorithm used in XGBoost Distributed and external memory version only support approximate algorithm. Choices: {‘auto’, ‘exact’, ‘approx’, ‘hist’, ‘gpu_exact’, ‘gpu_hist’} ‘auto’: Use heuristic to choose faster one. - For small to medium dataset, exact greedy will be used. - For very large-dataset, approximate algorithm will be chosen. - Because old behavior is always use exact greedy in single machine, - user will get a message when approximate algorithm is chosen to notify this choice. ‘exact’: Exact greedy algorithm. ‘approx’: Approximate greedy algorithm using sketching and histogram. ‘hist’: Fast histogram optimized approximate greedy algorithm. It uses some performance improvements such as bins caching. ‘gpu_exact’: GPU implementation of exact algorithm. ‘gpu_hist’: GPU implementation of hist algorithm.}
| ^
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.3.3
Check: HTML version of manual
Result: NOTE
Found the following HTML validation problems:
generics.html:54:1 (generics.Rd:15): Warning: missing </ul> before </div>
h2o4gpu.elastic_net_classifier.html:167:1 (h2o4gpu.elastic_net_classifier.Rd:75): Warning: missing </ul> before </div>
h2o4gpu.elastic_net_regressor.html:167:1 (h2o4gpu.elastic_net_regressor.Rd:75): Warning: missing </ul> before </div>
h2o4gpu.gradient_boosting_classifier.html:202:1 (h2o4gpu.gradient_boosting_classifier.Rd:94): Warning: missing </ul> before </div>
h2o4gpu.gradient_boosting_regressor.html:206:1 (h2o4gpu.gradient_boosting_regressor.Rd:96): Warning: missing </ul> before </div>
h2o4gpu.kmeans.html:106:1 (h2o4gpu.kmeans.Rd:42): Warning: missing </ul> before </div>
h2o4gpu.pca.html:85:1 (h2o4gpu.pca.Rd:31): Warning: missing </ul> before </div>
h2o4gpu.random_forest_classifier.html:146:1 (h2o4gpu.random_forest_classifier.Rd:64): Warning: missing </ul> before </div>
h2o4gpu.random_forest_regressor.html:142:1 (h2o4gpu.random_forest_regressor.Rd:62): Warning: missing </ul> before </div>
h2o4gpu.truncated_svd.html:80:1 (h2o4gpu.truncated_svd.Rd:28): Warning: missing </ul> before </div>
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc